Abstract: Systems and methods for processing image data representing a document to remove deformations contained in the document are disclosed. A system may include one or more memory devices storing instructions and one or more processors configured to execute the instructions. The instructions may instruct the system to provide, to a machine learning system, a training dataset representing a plurality of documents containing a plurality of training deformations. The instructions may also instruct the system to use the machine learning system to process image data representing a target document containing a target document deformation. The machine learning system may generate restored image data representing the target document with the target document deformation removed. The instructions may further instruct the system to provide the restored image data to at least one of a graphical user interface, an image storage device, or a computer vision system.

Abstract: An integrated circuit includes queue circuits for storing packets, a scheduler circuit that schedules the packets received from the queue circuits to be provided in an output, and a traffic manager circuit that disables one of the queue circuits from transmitting any of the packets to the scheduler circuit based at least in part on a bandwidth in the output scheduled for a subset of the packets received from the one of the queue circuits.

Abstract: A method for determining discharge area in hydraulic stimulation operations is provided that includes obtaining one or more treatment data inputs from a well system, and determining a discharge area by applying the one or more treatment data inputs to a function that determines discharge area in terms of volumetric flow rate of the fracturing fluid, wherein the discharge area is a total area of all downhole exits through which the fracturing fluid exits a wellbore into a subterranean formation.

Abstract: A computer-implemented method includes tracking, by a computing device, user browsing activity of a first page having known elements; mapping, by the computing device, the user browsing activity to the known elements; storing, by the computing device, mapping information that maps the user browsing activity to the known elements; tracking, by the computing device, user browsing activity of a second page having unknown elements; identifying, by the computing device, the unknown elements based on the mapping information and the user browsing activity of the second page; and executing, by the computing device, one or more computer-based instructions based on the determining the unknown elements that were identified.

Abstract: An exemplary system, method, and computer-accessible medium can include, for example, receiving an original dataset(s), receiving a synthetic dataset(s), training a model(s) using the original dataset(s) and the synthetic dataset(s), and evaluating the synthetic dataset(s) based on the training of the model(s). The model(s) can include a first model and a second model, and the first model can be trained using the original dataset(s) and the second model can be trained using the synthetic dataset(s). The synthetic dataset(s) can be evaluated by comparing first results from the training of the first model to second results from the training of the second model.

Abstract: Disclosed are examples for providing functions to receive a media file to be stored in a media repository. In the examples, a location in the media repository may be assigned to the media file. A media file address in a blockchain platform may be assigned to the media file. Metadata including the assigned location in the media repository and the assigned media file address in the blockchain platform may be added to the media file. A media file hash value may be generated by applying a hash function to the media file including the metadata. The media file hash value may be included in a message and uploaded to the assigned media file address in the blockchain platform as a transaction in the blockchain. An indication that the media file is uploaded to the media repository may be delivered to a subscriber device from which the media file was received.

Abstract: In some implementations, a training platform may receive data for generating synthetic models of a body part, such as a hand. The data may include information relating to a plurality of potential poses of the hand. The training platform may generate a set of synthetic models of the hand based on the information, where each synthetic model, in the set of synthetic models, representing a respective pose of the plurality of potential poses. The training platform may derive an additional set of synthetic models based on the set of synthetic models by performing one or more processing operations with respect to at least one synthetic model in the set of synthetic models, and causing the set of synthetic models and the additional set of synthetic models to be provided to a deep learning network to train the deep learning network to perform image segmentation, object recognition, or motion recognition.

Abstract: A computer-implemented method includes tracking, by a computing device, user browsing activity of a first page having known elements; mapping, by the computing device, the user browsing activity to the known elements; storing, by the computing device, mapping information that maps the user browsing activity to the known elements; tracking, by the computing device, user browsing activity of a second page having unknown elements; identifying, by the computing device, the unknown elements based on the mapping information and the user browsing activity of the second page; and executing, by the computing device, one or more computer-based instructions based on the determining the unknown elements that were identified.

Abstract: A method for automatic target configuration in a conveyor system, the method including: perform a pallet-flow analysis for a station; generate target and move configurations for the station; determine if there are more stations and perform the pallet flow analysis and the generate target and move configurations until all stations are completed; finalize routing targets' configurations; and finalize exit move configurations. A system for automatic target configuration in a conveyor system, the system including: a processor; a processor readable memory storing computer instructions, which, when executed by the processor, cause the processor to: perform a pallet-flow analysis for a station; generate target and move configurations for the station; determine if there are more stations and perform the pallet flow analysis and the generate target and move configurations until all stations are completed; finalize routing targets' configurations; and finalize exit move configurations.

Abstract: Exemplary embodiments may use word embeddings to enhance scanning of programming code scripts for sensitive subject matter, such as confidential subject matter. The scanning may be performed by a neural network in some exemplary embodiments. The neural network initially may be trained on a corpus of programming code scripts to identify keywords relating to sensitive subject matter, such as passwords, tokens or credentials. The neural network may not only identify instances of the keywords but also may identify related terms as well. The output of the scan may be a ranked list of terms in the programming code script that may relate to sensitive subject matter.

Abstract: Techniques for providing a real-time service that protects personal data of clients from customer service agents are provided. Customer data that includes personal data indicative of sensitive information of a customer can be received from the customer. The personal data within the received customer data can be detected and a token that does not include the sensitive information of the customer can be generated. The personal data and the generated token can be stored along with data indicating a relationship between the token and the personal data. The personal data in the received customer data can be replaced by the token to form modified customer data. The modified customer data can be provided to a customer service representative. The token within the modified customer data can later be detected and associated with the personal data without revealing the personal data to the customer service representative.

Abstract: Systems and methods for processing image data representing a document to remove deformations contained in the document are disclosed. A system may include one or more memory devices storing instructions and one or more processors configured to execute the instructions. The instructions may instruct the system to provide, to a machine learning system, a training dataset representing a plurality of documents containing a plurality of training deformations. The instructions may also instruct the system to use the machine learning system to process image data representing a target document containing a target document deformation. The machine learning system may generate restored image data representing the target document with the target document deformation removed. The instructions may further instruct the system to provide the restored image data to at least one of a graphical user interface, an image storage device, or a computer vision system.

Abstract: A secure method for resetting the password for an account is disclosed. During the setup of the account, the user can provide the service provider with a media file, and when the user asks the service provider to reset the password for the account, the user will be prompted with several media files. The user can be asked to identify the media file that the user provided to the service provider at the time of the setup of the account. If the user properly identifies the media file, the password will be reset.

Abstract: A respiratory treatment apparatus configured to provide a flow of breathable gas to a patient, including a breathable air outlet, an outside air inlet, and an pneumatic block module, wherein the pneumatic block module includes: a volute assembly including an inlet air passage, a mount for a blower and an outlet air passage; the blower being mounted in the mount such that an impeller of the blower is in a flow passage connecting the inlet air passage and the outlet air passage; a casing enclosing the volute assembly, wherein air passages within the casing connect air ports on the volute assembly, wherein the inlet air passage of the volute assembly is in fluid communication with the outside air inlet and the outlet air passage of the volute assembly is in fluid communication with the air outlet.

Abstract: Exemplary embodiments relate to the secure storage of security questions through an immutable log, such as a blockchain. The security questions may be stored in a centralized location, accessible from an application or browser tab running on the user's device. When a security question is required, such as to perform a password reset on a website, the website may interact with the application or browser tab, which retrieves the question(s) from the blockchain. The user may enter their answers to the question(s), which may be hashed by the application or tab. The hashed answers may be entered into the original requesting website, which may verify with the blockchain that the correct answers have been provided. Thus, the requesting website sees neither the questions nor the answers. Additional security features may include logging requests for questions, so that a user can determine if a security question may have been compromised.

Abstract: Described herein are embodiments for managing comments in a program code file. A system may select program code and compile it to an intermediary code. The system may compare the intermediary code to a library of intermediary code snippets associated with comments. Based on the comparison, a system may recognize the code to be obsolete. In some embodiments, a system may generate one or more recommendations to update a code. Based on received feedback regarding a recommendation, a system may accordingly update a code.

Abstract: This disclosure relates to an improved continuous solution polymerization process wherein production rate is increased. Process solvent, ethylene, optional comonomers, optional hydrogen and a bridged metallocene catalyst formulation are injected into a first reactor to form a first ethylene interpolymer. Optionally, process solvent, ethylene, optional comonomers, optional hydrogen and a bridged metallocene catalyst formulation are injected into a second reactor forming a second ethylene interpolymer. The first and second reactors may be configured in series or parallel modes of operation. Optionally, a third ethylene interpolymer is formed in a third reactor, wherein a homogeneous catalyst formulation or a heterogeneous catalyst formulation is employed. In solution, the first, optional second and optional third ethylene interpolymers are combined, the catalyst is deactivated, the solution is optionally passivated and following a phase separation process an ethylene interpolymer product is recovered.

Abstract: Methods for generating data models using a generative adversarial network can begin by receiving a data model generation request by a model optimizer from an interface. The model optimizer can provision computing resources with a data model. As a further step, a synthetic dataset for training the data model can be generated using a generative network of a generative adversarial network, the generative network trained to generate output data differing at least a predetermined amount from a reference dataset according to a similarity metric. The computing resources can train the data model using the synthetic dataset. The model optimizer can evaluate performance criteria of the data model and, based on the evaluation of the performance criteria of the data model, store the data model and metadata of the data model in a model storage. The data model can then be used to process production data.

Abstract: An exemplary system, method, and computer-accessible medium can include, for example, establishing a unique rule-identifier in one-to-one correspondence with at least one set of unknown time-variable rules against which data is to be made compliant, obtaining at least one set of data marked compliant against the one or more set of rules, obtaining meta-data from the compliant data, obtaining at least one set of data marked non-compliant against the set of unknown time-variable rules, extracting meta-data from the non-compliant data, joining the set of compliant and non-compliant metadata to generate a set of estimated rules corresponding to the rule-identifier based at least one of (i) the meta-data of the joined set and (ii) machine learning algorithms.

Abstract: Techniques to apply machine learning to schedule events of interest for a device user. As described herein, a typical device user is inundated with information suggesting activities and other things to do. Using these techniques, the information is categorized according to the activity and those activities that are most likely to be engaged in by the device user are recommended to the device user (via their device) as events of interest. If the device user selects an event of interest, the device is updated to reflect that selection. For instance, a calendar application may be updated to include an event description at the event's date and time. Other embodiments are described and claimed.